AI at the Edge, powered by Intel
Intel powers intelligence at the edge of business

Pre-installed Computer Vision Software

Contains the OpenVINO(TM) toolkit for hardware acceleration of deep learning inference for computer vision applications.

Hardware Acceleration

Harness the performance of Intel®-based accelerators for deep learning inference with the CPU, GPU, and VPU included in this kit.

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Reduce Time to Field Trial

The kit includes a field-ready mountable aluminum enclosure and camera. Purchase available Wi-Fi and cellular module add-ons.

Benefits of the OpenVINO™ toolkit

Accelerate Performance

Access Intel computer vision accelerators. Speed code performance.​
Supports heterogeneous processing​ & Asynchronous execution.

Integrate Deep learning

Unleash convolutional neural ​network (CNN) based deep learning inference across ​using a common API & 10 trained models. ​

Speed development

Reduce time using a library ​of optimized OpenCV* & OpenVX* functions, 15+ samples.​
Develop once, deploy for current ​& future Intel-based devices.

Innovate & customize

Use the increasing repository ​of OpenCL™ starting points in OpenCV* ​to add your own unique code.​

UP Squared AI Vision X Developer kit

What's in the box
A VESA Mountable edge computer with Intel Atom®X7-E3950 processor, 8GB memory, 64 GB eMMC with Ubuntu image (kernel 4.15) OpenVINO™ toolkit R5
Power supply 5V @ 6A
EU/US Power cord
AI Core X integrated with Intel® Movidius™ Myriad™ X (version B)
USB Camera with maximum resolution of 1920 x 1080p at 30 fps
Ubuntu 16.04 Desktop
OpenVINO™ toolkit R5
Intel® System Studio 2018 Community Edition with Eclipse IDE
Drivers for Intel® VTune™ Amplifier, Intel® Energy Profiler, Intel® Graphics Performance Analyzer
MRAA and UPM I/O and sensor libraries for C++, Python, Java and JavaScript

USB Vision camera

Maximum resolutionFull HD 1920 x 1080
Supported video quality320 x 240 / 352 x 288 / 640 x 480 VGA / 800 x 600 MJPEG @ 60 fps
1024 x 768 / 1280 x 720 / 1280 x 1024 / 1920 x 1080 MJPEG @ 30 fps
Picture formatMJPEG / YUV2 (YUYV)
Focus motorManual focus
Sensor1/2.7" OV2735
Mini illumination0.05 LUX
InterfaceUSB 2.0 High Speed
Support OTGUSB 2.0 OTG
Support free driverUSB Video Class (UVC)
Dimensions41 x 41 x 41.5 mm / 245g
Auto white balanceAuto
Working temperature-20°C to 80°C
Operating humidity30%~90% Rh
Working powerDC 5V
Cable length1 meter

AI Core X Specifications

UP AI Core X 
SoCIntel® Movidius™ Myriad™ X VPU 2485
Quantity of VPU1
Form factorMini PCI-Express
Memory4Gb LPDDR4 x1
Dimensions30 x 51 mm (1.18" x 2.00")
ThermalFanless heatsink
Supported FrameworksCaffe, TensorFlow, MXNet, Kaldi, ONNX
Minimum system requirementsx86_64 Computer running Ubuntu 16.04, 1GB memory, 4GB Free storage, vacant expansion slot
Software toolIntel® Distribution of OpenVINO™ toolkit R4 or above rev.

UP Squared Specifications

SocIntel® Atom™ x7-E3950 (up to 2GHz)
GraphicsIntel® Gen 9 HD
Video and Audio1x HDMI 1.4b 4K@30Hz, 1x DP 1.2 4K @ 60Hz
Camera interfaceCSI 2-lane + CSI 4-lane (only pass-through)
USB3x USB3.0 (Type A)
1x USB 3.0 OTG (micro B)
2x USB2.0 + 2x UART (Tx/Rx)
Ethernet2x Gb Ethernet full speed RJ-45
Expansion40 pin General Purpose bus
60 pin EXHAT
1x mini-PCI-e, M.2 2230, SATA3
OS SupportMS Windows 10 (full)
MS Windows IoT Core
Linux (ubilinux, Ubuntu, Yocto)
Android Marshmallow
Dimensions85.6 x 90 mm

Expand your UP Squared board with a wide range of connectivity expansions

UP Squared AI Vision X Developer Kit